(Immediate Start) Data Scientist

Job Description : Data Scientist (8+ Years)

Location : Remote

Notice Period : Immediate to 15 Days

Experience : 8+ Years

Role Summary

We are seeking a highly experienced Data Scientist / Data Science Engineer to design, build, deploy, and maintain machine learning models and scalable production systems. This role focuses on bridging the gap between research and production by implementing MLOps best practices, ensuring model reliability, and optimizing performance at scale. You will collaborate with cross-functional teams including Data Scientists, Data Engineers, DevOps, and Product Managers to deliver enterprise-grade AI / ML solutions.

Key Responsibilities

• Model Development & Deployment
• Develop, optimize, and deploy machine learning models into scalable and secure production environments.
• Transition research prototypes into production-grade systems with high efficiency and maintainability.
• Data Pipeline Engineering
• Build and optimize data pipelines for model training, evaluation, and inference.
• Ensure high data quality, availability, and consistency across the ML lifecycle.
• MLOps & Infrastructure
• Implement frameworks for model versioning, monitoring, retraining, and CI / CD.
• Use platforms such as MLflow, Kubeflow, Airflow for end-to-end ML lifecycle management.
• Cloud & Platform Engineering
• Deploy ML solutions using cloud platforms (AWS, Azure, GCP) and their managed ML services.
• Manage containerized workloads using Docker and Kubernetes.
• System Reliability & Performance
• Monitor production systems for data drift, performance degradation, and anomalies.
• Optimize latency, throughput, and cost of ML services in production.
• Collaboration & Agile Delivery
• Work in Agile teams, participate in sprint planning, code reviews, and maintain clear documentation.
• Partner with business and technical stakeholders to align ML solutions with business goals.

Required Qualifications & Skills

Preferred Qualifications

Key Relationships

Role Dimensions

Success Measures (KPIs)

Interested candidates can share their CVs to deepika.balijepally@eminds.ai